Bank of America had 157 patents in artificial intelligence during Q1 2024. Bank of America Corp filed patents in Q1 2024 for technologies related to typosquatting detection, lateral movement identification, context-aware response functions, deep learning architecture for adverse media screening, and energy optimization. These technologies involve using machine learning models to analyze user input data, sensor data, news reports, and event processing requests to improve security, screening processes, and energy efficiency within an enterprise organization. GlobalData’s report on Bank of America gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bank of America grant share with artificial intelligence as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Typosquatting detection and notification (Patent ID: US20240106857A1)
The patent filed by Bank of America Corp. describes a system for detecting and notifying users about typosquatting when entering website addresses in a web browser. The system uses a machine learning model to analyze user input and determine the likelihood of typosquatting. If the likelihood exceeds a threshold, a notification is generated for the user to confirm the accuracy of the website address. User responses are then used to update the machine learning model. The system aims to prevent users from accessing potentially malicious websites due to typosquatting.
The system includes a computing platform with a processor, communication interface, and memory storing instructions for receiving user input, analyzing it using a machine learning model, comparing the likelihood of typosquatting to a threshold, and generating a user interface for user confirmation. The machine learning model can be trained using historical web browser data or vendor data on safe and malicious websites. Real-time analysis of user input is performed, and visual indicators of potential typosquatting are displayed in the web browser. The user interface can overlay a significant portion of the browser window to ensure user attention. Overall, the system provides a proactive approach to protect users from falling victim to typosquatting attacks.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
